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We have 38 Physics (reliability) PhD Projects, Programmes & Scholarships for Self-funded Students
Physics (reliability) PhD Projects, Programmes & Scholarships for Self-funded Students
We have 38 Physics (reliability) PhD Projects, Programmes & Scholarships for Self-funded Students
Intelligent Techniques for Reliability Prediction and Improvement of Free-Space Optics-based Future Satellite Communication Systems
Research Group:
Bradford-Renduchintala Centre for Space AI
Satellite communications play a pivotal role in our modern world, driving global efforts towards the development of next-generation satellite communication systems. Read more
ICASE PhD Studentship Bristol-Renishaw - Next generation optical spectroscopy for net-zero wide/ultrawide bandgap semiconductor materials and devices
ICASE PhD Studentship Bristol-Renishaw - Next generation optical spectroscopy for net-zero wide/ultrawide bandgap semiconductor materials and devices. Read more
High Voltage, High Repetition Rate Pulse Generation Semiconductor Devices
High Voltage, High Repetition Rate Pulse Generation. About the PhD Project. Read more
Vibration isolation design for optimum machine reliability
In this project you will use modelling and experimental methods to build an understanding of how vibration and shock mount design can influence machine bearing life. . Read more
PhD in Civil Engineering - Advanced Simulation Capabilities for Reinforced Tubular Structures Under Complex Loading Conditions
Start date. 01 October 2025 or earlier. A fully funded PhD Studentship is available at the James Watt School of Engineering, University of Glasgow in collaboration with Freudenberg from 1st October 2025 (or earlier). Read more
Ultrathin layered ferroelectrics for energy-efficient electronic memory devices
Supervisory Team. Dr Soumya Sarkar and Dr Dimitra Georgiadou. With modern computing set to consume around 20% of global electricity by 2030 due to the rise of AI, energy-efficient computing hardware is urgently needed. Read more
Unlocking the Full Potential of EEG: A Data-Driven Approach to Functional Neuroimaging in the Absence of MRI
Quantitative methods for studying human brain function are foundational to modern neuroscience. Among these, electroencephalography (EEG) stands out as a non-invasive technique that measures the brain's electromagnetic activity, offering crucial insights for both research and clinical applications. Read more
Doctor of Engineering (EngD) - High-performance ultrashort pulse laser sources for advanced applications in sensing, imaging, and precise timing (Fraunhofer and University of Strathclyde)
Research Group:
CDT in Applied Photonics
Project Description. The Fraunhofer Centre for Applied Photonics (Fh-CAP) seeks for a post graduate student to fulfil an EngD research position in ultrafast solid-state laser technology. Read more
Investigating the impact of subharmonics induced by inverter-based resources to enable a renewables-led future power grid
Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering). Read more
Vortex flow predictions for stability and control of bluff bodies
This project will develop new methods for vortex flow prediction using advanced computational methods. . Read more
Fusion of distributed and point acoustic sensing with physics-enhanced machine learning for remote monitoring of strategic energy assets
This project aims to leverage the advances in ultrasonic testing, including optical fibre-based distributed acoustic sensing and physics-enhanced machine learning, to increase the reliability of nuclear waste storage monitoring. . Read more
Distributed acoustic sensing for monitoring complex environments
This project aspires to advance distributed acoustic sensing by developing physics-enhanced signal processing algorithms particularly suited for complex multi-source environments. Read more
(UoM - IIT KGP) Developing Online FRA Transformer Winding Mechanical Incipient Fault Detection Methods through Transient Monitoring and Machine Learning
Power transformers in electrical power networks experience operational stresses such as short circuit currents and associated electromagnetic forces, making their reliable operation crucial for ensuring uninterrupted power supply. Read more
3D Heterogeneous Integration of 2D Electronic Materials for Neuromorphic Computing
This projects aims to develop two-dimensional (2D) materials, such as MoS2, which are atomically thin and offer a unique solution for neuromorphic computing hardware, in a 3D system where data processing and storage are unified within the artificial synapses and neurons to realize complex functions such as perception and learning. Read more
Developing next generation cleanroom processing technologies for Silicon Carbide power electronic devices
Supervisor: Dr Vishal Shah. Students must have a minimum Bachelors degree of 2.1 (UK) or international equivalent qualifications and a degree in experimental engineering/chemistry/physics. Read more